opytimizer.optimizers.misc.nds¶
Non-Dominated Sorting.
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class
opytimizer.optimizers.misc.nds.NDS(params: Optional[Dict[str, Any]] = None)¶ An NDS class, inherited from Optimizer.
This is the designed class to define NDS-related variables and methods.
References
P. Godfrey, R. Shipley and J. Gryz. Algorithms and Analyses for Maximal Vector Computation. The VLDB Journal (2007).
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__init__(params: Optional[Dict[str, Any]] = None) → None¶ Initialization method.
Parameters: params – Contains key-value parameters to the meta-heuristics.
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n_pareto_points¶ Number of points in the frontier.
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count¶ Array of domination counts.
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set¶ Array of dominating set.
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status¶ Array of pareto status.
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compile(space: opytimizer.core.space.Space) → None¶ Compiles additional information that is used by this optimizer.
Parameters: space – A Space object containing meta-information.
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_compare_domination(agent_i: opytimizer.core.agent.Agent, agent_j: opytimizer.core.agent.Agent) → bool¶ Calculates whether i dominates j.
Parameters: - agent_i – Agent i.
- agent_j – Agent j.
Returns: Boolean indicating whether i dominated j or not.
Return type: (bool)
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update(space: opytimizer.core.space.Space) → None¶ Wraps Non-Dominated Sorting over all agents and variables.
Parameters: space – Space containing agents and update-related information.
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